18269130. EXERCISE ASSISTING APPARATUS, EXERCISE ASSISTING METHOD, AND RECORDING MEDIUM simplified abstract (NEC Corporation)

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EXERCISE ASSISTING APPARATUS, EXERCISE ASSISTING METHOD, AND RECORDING MEDIUM

Organization Name

NEC Corporation

Inventor(s)

Makoto Yasukawa of Tokyo (JP)

Kosuke Nishihara of Tokyo (JP)

Yuji Ohno of Tokyo (JP)

EXERCISE ASSISTING APPARATUS, EXERCISE ASSISTING METHOD, AND RECORDING MEDIUM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18269130 titled 'EXERCISE ASSISTING APPARATUS, EXERCISE ASSISTING METHOD, AND RECORDING MEDIUM

Simplified Explanation

The patent application describes an exercise assisting apparatus that uses motion information to infer the motions of a target person doing exercise.

  • Division unit divides sample motion information into pieces of motion element information based on regularity of motions.
  • Generation unit generates an inference model by training it to learn time-series antecedent dependency of the motion element information.
  • The inference model infers motions of the target person based on target motion information.

Potential Applications

This technology could be applied in:

  • Fitness tracking devices
  • Physical therapy rehabilitation programs

Problems Solved

This technology helps in:

  • Providing personalized exercise guidance
  • Monitoring and analyzing exercise movements accurately

Benefits

The benefits of this technology include:

  • Improved exercise performance
  • Preventing injuries by ensuring correct exercise form

Potential Commercial Applications

  • "Smart" exercise equipment for gyms
  • Wearable fitness devices for home use

Unanswered Questions

How does the apparatus handle variations in individual exercise styles and preferences?

What measures are in place to ensure the privacy and security of the motion information collected?

Original Abstract Submitted

An exercise assisting apparatus includes: a division unit configured to divide sample motion information indicating motions of a sample person doing exercise into a plurality of pieces of motion element information , according to regularity of the motions of the sample person; and a generation unit configured to generate an inference model by causing a pre-trained model to learn time-series antecedent dependency of the plurality of pieces of motion element information, the inference model inferring motions of a target person, based on target motion information indicating the motions of the target person doing exercise.